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• [P1034] Model Predictive Control of Velocity and Torque Split in a Parallel Hybrid Vehicle
  Author(s): Tae Soo Kim, Chris Manzie, Rahul Sharma
  
  

  Abstract
  In this paper, model predictive control for torque split and velocity in a parallel hybrid vehicle equipped with vehicle telemetry is proposed. The aim is to optimally schedule torque split and velocity given limited information about the future traffic behaviour, while avoiding depletion of the battery state of charge relative to the level at the beginning of the journey. The control signal vector was found to be characterised by smooth changes in velocity and increases in the motor to engine power ratio as the vehicle accelerates. Methods of relaxing the constraints to improve computational speed are discussed. It was found that as short as five seconds prediction has the potential for additional fuel savings of up to 6.6 per cent over the NEDC cycle.

  
   

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